{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from lets_plot import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "LetsPlot.setup_html()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "lat = [48.979166, 48.936053, 29.875645, 35.309947]\n",
    "lon = [-102.492420, -80.237456, -114.032789, -123.242456]\n",
    "values = [700, 800, 1500, 200, 500]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = dict(y_start=lat[0:2], x_start=lon[0:2], y_end=lat[2:4], x_end=lon[2:4])\n",
    "path = pd.DataFrame({'x': lon, 'y': lat})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "p = ggplot() + geom_livemap()\n",
    "p += geom_path(data=path, mapping=aes(x='x', y='y', color = 'x'), size=3, linetype=4)\n",
    "p"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.10"
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 "nbformat": 4,
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